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COMPUTER SCIENCE APPLICATIONS BY PHILIP KLEIN PDF the very best book Coding The Matrix: Linear Algebra Through Computer. Editorial Reviews. About the Author. Philip Klein is Professor of Computer Science at Brown University. He was a recipient of the National Science Foundation's. Matrix-vector multiplication in terms of linear combinations. Linear-Combinations linear because it is based on linear algebra,. ▷ binary because the input.
After watching those, I started this course: In my opinion, the latter is one of the best math courses available on YouTube, and definitely deserves more views.
I'm just finished watching the 3blue 1brown series and am working through the Klein book now. Klein's books is very heavy on symbolic manipulation and not much geometric intuition. I still think it's worthwhile because of its CS applications.
But someone wanting to learn LA can easily get discouraged. I would suggest one do both the book and the 3blue 1brown series. The former is the bread, the latter is the jam. Klein emphasizes practical computer science applications of LA like principal components and hands-on coding tasks , whereas Strang emphasizes LA in terms of calculus and vector calculus. I think both courses are outstanding. I suspect CS students will appreciate Klein's content and examples more, though Strang lectures are so good you won't find much to complain about.
I have heard that some math purists object to Strang's emphasis as being as lacking fundamental rigor and overemphasizing intuition. But this criticism probably applies to both courses.
I have an engineering background. I think this is a fair characterization of the two approaches. Has anyone here already taken a similar path and what did you think?
My main interests are in graphics programming, so I'm hoping to apply what I learn from the course to that.
If anyone else has any recommendations on other areas of math, courses, or books in general for learning CG, that would be much appreciated! Suggestions 1.
When Life is Linear: I'll check them out, thanks! The approaches of Strang and Klein are complementary.
The exercises in that chapter of the Klein are brilliant. Strang sticks with the reals. For this topic, the Klein suffers for lack of straight-up problem drills. Thanks for the comparison. Send mail if you have questions about using the book for a university course.
Here are examples of applications addressed in Coding the Matrix. Error-correcting codes Error-correcting codes are used, e. At the core of the most sophisticated integer-factoring algorithms is a simple problem in linear algebra.
Audio and image compression Compression of audio and images aids efficient storage and transmission.
Coding The Matrix: Course Resources Data and support code required for carrying out the assignments are provided here. Join the mailing list for updates about addition of resources.
Slides Slides from the course taught at Brown University in Fall Edition 1 of the textbook is available for download. It incorporates corrections and a revised and expanded index.